23 results about "Web performance" patented technology

Methods for streaming pageload telemetry data as open telemetry data in a push-based approach are provided. Specifically, methods involve obtaining, from a monitoring agent, telemetry data associated with one or more network communications provided to a web-based service and generating web performance telemetry data from the telemetry data by injecting one or more attributes about at least one of the monitoring agent or the one or more network communications. The one or more attributes are obtained separately from the telemetry data. The methods further involve streaming the web performance telemetry data to one or more observability services.

In some examples, a method includes receiving, from a plurality of agents executing on scatter network devices, network performance metrics, at least some of the scatter network devices serving as endpoints for logical communication channels formed via a communication channel provider for which a first Internet service provider provides Internet backhaul and the logical communication channels traverse a first relay; aggregating the network performance metrics received from the plurality of agents; analyzing the aggregated network performance metrics to determine operational characteristics of a network; determining, based on the operational characteristics of the network, that the Internet service provider has transitioned from the first Internet service provider to a second Internet service provider to provide the Internet backhaul; and responsive to the determining, providing an instruction to the plurality of agents to modify operational settings of the agents to form logical communication channels that traverse a second relay.

The invention relates to the technical field of video conference remote supervision, in particular to a video conference remote supervision system and method based on meeting place environment information, and the method comprises the steps: collecting the network performance data of a corresponding server of a video conference in real time, and when the transmission delay in the network performance data of the corresponding server is monitored to be greater than or equal to a first preset threshold value, sending the video conference to a server; based on the real-time concentration state of the conference participants, a dynamic resource allocation strategy is automatically executed, and video stream resource occupation of non-core conference participants is reduced. According to the method, conference participant concentration degree evaluation based on visual analysis is introduced to serve as a key execution basis of a dynamic resource allocation strategy, so that when a server network is congested, a video conference can preferentially guarantee experience of key persons and concentrators, resources of non-core conference participants are limited to a certain extent, and the experience of the video conference is guaranteed. Therefore, the core conference experience is maximized under limited resources.

A satellite Internet networking structure evaluation method, device, equipment and medium are provided in one or more embodiments of the present application. When evaluating the satellite Internet networking structure, the performance of the established satellite Internet networking structure is comprehensively determined according to the communication link performance indicators, coverage capability indicators, network performance indicators of the established satellite Internet networking nodes, and the first weight and the second weight corresponding to each indicator, so as to determine whether the networking structure meets the requirements. Moreover, the performance of the networking structure is determined through the obtained indicators and the corresponding first weight and second weight, thereby improving the accuracy of the evaluation of the satellite Internet networking structure.

The invention provides a data volume self-adaptive front-end large-screen data scrolling display method and system, and belongs to the technical field of front-end visualization and Web performance optimizing.The system monitors the number N of data items in real time and divides the data items into a small data volume level, a middle data volume level and a large data volume level according to threshold values N1 and N2, and the small data volume is laid in a tiled mode and scrolling is forbidden; local rolling is started for medium data volume, and m preloading buffers are set; virtual scrolling is started for a large amount of data, only a visible area is rendered, and n buffers are set. And the rolling speed is calculated according to v = k / N and is subjected to amplitude limiting. A scrolling progress bar is generated under a large amount of data, and a page prompt is provided when N exceeds a threshold. Destroying corresponding components and cleaning and monitoring, a timer and a cache DOM to release resources during policy degradation; and meanwhile, the rendering opportunity is optimized by using the request IdleCallback and the request Animation Frame, so that the fluency and the stability of the large screen in a data volume fluctuation scene are improved.

Systems and methods for a customized Internet Service Provider (ISP) ranking dashboard include monitoring network traffic of a plurality of tenants of the cloud-based system, wherein the network traffic includes traffic originating from a plurality of computing devices distributed across various geolocations; analyzing the network traffic to determine network performance associated with a plurality of Internet Service Providers (ISPs); and providing a dashboard, wherein the dashboard includes one or more visualizations displaying the network performance of the plurality of ISPs.

The invention provides a method and system for arranging container resources based on computing network conditions, and relates to the field of cloud computing. The method comprises the following steps: building a functional architecture of a computing network scheduling platform, wherein the functional architecture comprises an application management module, a cloud network monitoring center, a resource management center and a collaborative scheduling center; receiving a computing power scheduling request, and obtaining real-time resource state data and network performance data of a plurality of data centers accessing the platform through a resource management center and a cloud network monitoring center; based on the service demand parameters, the real-time resource state data and the network performance data, evaluating each data center according to a preset collaborative scheduling strategy; and recommending an optimal target data center to perform calculation scheduling. According to the method, resources are dynamically planned through the computing network scheduling platform, and the problems of resource scrambling and service degradation of application resources in peak time are solved.

The application discloses a kind of Internet of Things terminal equipment wireless security detection method and system, comprising: the first recording flow of the protection profile of the Internet of Things terminal equipment to be measured in the normal communication wireless network environment is obtained;First recording flow is parsed and randomly deformed, and first attack packet is obtained;Second recording flow of protection profile is obtained in the process of playing first attack packet in wireless network, and second recording flow is compared and analyzed with first recording flow by artificial intelligence engine;If consistent, it is judged that the attack of first attack packet to equipment succeeds, and first attack packet and second recording flow are stored to vulnerability library;If inconsistent, and the analysis result corresponding to second recording flow is that equipment is not responsive, it is judged that the attack of first attack packet to equipment fails.The application directly records the flow of each security function component of the Internet of Things terminal equipment to be measured when facing different attack packets, without being limited to the network performance of the Internet of Things terminal equipment to be measured.

The present application relates to the technical field of Internet of Things device health management, in particular to a smart bed hardware health degree self-evaluation and repair method and device. The method comprises the following steps: a device end acquires sensor original signal data based on a preset sliding time window, acquires a sensor signal quality index value based on the sensor original signal data, and sends the sensor signal quality index value to a cloud end; in a preset monitoring time period at the initial stage of a new algorithm going online, the device end acquires an algorithm performance index value based on data received by an algorithm module, and sends the algorithm performance index value to the cloud end; and the device end acquires network monitoring data based on a preset sliding time window, acquires a network performance index value based on the network monitoring data, and sends the network performance index value to the cloud end. This method can automatically monitor the hardware health condition, accurately diagnose the fault root cause, and intelligently execute the repair strategy, thereby significantly improving the reliability, data accuracy and service quality of the smart bed.

The application provides a page file generation method and device, and relates to the technical field of Internet. The method comprises the following steps: receiving a page loading request sent by a terminal, wherein the page loading request comprises page information; obtaining target page data corresponding to the page information and type information of the target page data; determining simplified style data associated with the page information; the simplified style data is obtained by performing simplification processing on full-amount style data corresponding to the type information of the matched page data; obtaining target simplified style data matched with the type information of the target page data from the associated simplified style data; and generating a target page file according to the target page data and the target simplified style data, wherein the target page file is a file used for generating a target page corresponding to the page loading request. Based on the above scheme, the application can effectively improve the page file rendering efficiency, thereby optimizing the web performance and relieving the system pressure of the server.

While organizations can employ IPsec based VPNs to securely connect different sites (e.g., branch sites, data centers, and / or virtual private clouds), the security can disrupt network performance by obfuscating information used for load balancing. Disclosed is technology that employs minimal decryption in a secure manner to load balance multiple network traffic flows within a secure connection (“tunnel”) across security appliances that effectively operate as alternative endpoints for the tunnel. The security appliances within a load balancing pool are configured / programmed to share tunnel keys with each other after tunnel establishment and with the load balancer. The load balancer uses the tunnel keys to minimally decrypt in a lookaside memory encrypted packets to ascertain N-tuples, The load balancer then uses the N-tuples to load balance the flows within a tunnel across the security appliances.

This invention discloses a business operation and maintenance method and system based on a cloud service architecture, relating to the field of cloud computing technology. It includes collecting and formatting various link traffic data for horizontal network performance monitoring and topology generation; collecting microservice performance indicator data for multi-dimensional anomaly detection and analysis; and performing automated repair through fault correlation analysis and location. The method described in this invention helps to quickly identify network bottlenecks and potential security issues, provides accurate basic data for horizontal network performance monitoring and topology generation, optimizes early warning and rapid location performance, effectively reduces the impact of system failures on business operations, realizes intelligent and automated fault handling, shortens fault handling time, reduces operation and maintenance workload, and improves system stability and reliability.

The application discloses a text information reply method and device, and relates to the technical field of knowledge distillation, which comprises the following steps: based on the fine-grained distribution and coarse-grained structure of the attention layer, performing full-dimension knowledge migration, and combining attention grouping integration, learnable matrix dimension unification and double loss constraints to perform corresponding text processing and other operations, solving the technical problem that in the related art, the knowledge migration of distillation is one-sided, when the teacher network and the student network perform one-to-one knowledge distillation between layers, the number and dimension of the attention maps generated by both parties in the corresponding distillation layer cannot be matched, greatly affecting the distillation effect and the performance of the student network, and the technical effect of significantly improving the efficiency and effect of knowledge distillation, helping the student network to fully absorb the attention mode of the teacher network and enhancing the performance of the student network in text processing and other tasks.

This application relates to a method and system for encrypted traffic fingerprinting defense, comprising: real-time capture of network traffic of a target app; extraction of burst-level traffic features from the network traffic of the target app, representing them as an app feature matrix; measurement of traffic similarity of the app feature matrix; allocation of the app feature matrix to different anonymity sets, and merging of the anonymity sets to obtain an scalable anonymity set; construction of a dedicated conditional generative adversarial network model, and collection of traffic samples to train the conditional generative adversarial network model, thereby generating obfuscated traffic trajectories; optimization of the obfuscated traffic trajectories using a dynamic optimization strategy to form obfuscated traffic adapted to the actual network environment, and restoration of the obfuscated traffic to the original traffic before forwarding it to the destination server. Using the technical solution of this application, similar apps can be accurately aggregated, matching obfuscated traffic can be generated, network adaptation and edge restoration can be achieved, balancing encrypted traffic defense, network performance and privacy security.

Various methods and processes, apparatuses / systems, and media control peripheral devices in a multi-cloud, multi-desktop environment. A processor creates a synchronization agent that runs on a corresponding terminal of vendor specific remote desktops and act as a coordinator for managing one or more remote desktop applications running on different virtual desktop interface sessions that use different protocol specific to the corresponding vendor specific remote desktops. The synchronization agent receives device control commands from the one or more desktop applications and send them through virtual channels provided by the vendors the order in which it is received. Synchronization agent also sends command response back to the appropriate application from where it received a particular command. The synchronization agent ensures that overlapping and / or same family of commands are not sent over the virtual channels thereby substantially improving user experience and network performance, and protecting the peripheral devices from potential damage.

An approach for collecting network (e.g., Internet) performance metrics from an end-user perspective is disclosed. The approach comprises collecting, by at least one objective agent, a plurality of connection parameters relating to network service quality, wherein the plurality of collected connection parameters include throughput measurements relating to download speed and upload speed. The approach also comprises determining a mean quality index (MQI) score based on the plurality of collected connection parameters, wherein the MQI score is indicative of the network service quality from a user perspective.

The invention relates to the technical field of development, operation and maintenance integration, and provides a front-end Bundle size and performance budget automatic sticking method which comprises the following steps: S1, triggering an access control task based on a code submission event of a code hosting platform, executing front-end construction in a standardized environment, and collecting dependency graph volume data and core Web performance indexes in parallel; s2, a budget rule associated with the project, the branch and the operation portrait is pulled from a performance budget management center; s3, comparing the collected data with a budget rule, and generating a passing or non-passing decision based on a one-ticket override logic; s4, submitting the access control decision to a code hosting platform interface, and executing release or blocking of code merging in a programmed manner; s5, generating a diagnosis report containing dependency graph difference attribution; and S6, the developer optimizes the code according to the report and then submits the code According to the scheme, a full-process automatic closed loop of construction and measurement-budget comparison-programmed blocking / releasing-interpretable reporting-auditing and archiving is completed before codes are combined into a trunk.

The invention relates to the technical field of abnormal traffic identification, in particular to an industrial Internet of Things abnormal traffic online identification method. The method comprises the steps of obtaining a confidence coefficient characterization value of a target leaf node at a current moment, judging whether the confidence coefficient characterization value is greater than a preset confidence threshold value or not, if yes, performing splitting decision on the target leaf node at the current moment according to a Hoeffering inequality, and otherwise, performing splitting decision on the target leaf node at the current moment according to the Hoeffering inequality. If yes, obtaining a splitting necessity index value of the target leaf node at the current moment according to all vectors reaching the target leaf node and the quantity difference of different types of vectors in a set formed by a current network performance index value vector and a nearest neighbor vector sequence; and performing splitting decision on the target leaf node at the current moment according to the splitting necessity index value, and outputting an identification result of the abnormal traffic of the industrial Internet of Things at the current moment. And the accuracy and the reliability of abnormal traffic identification of the industrial Internet of Things can be improved.

At a large language model, convert a user query to an embedded version of the user query. Analyze the embedded version of the query with an orchestrator to obtain a notion of the query. Query a vector database with the notion of the query. Responsive to the querying of the vector database, retrieve a context with the orchestrator. Provide the context from the orchestrator to the large language model. Generate an answer to the user query with the large language model based on the user query and the context. Return the generated answer to the user.

The invention relates to a network performance testing method and device and electronic equipment, and relates to the technical field of network testing, and the method comprises the steps: determining an index of current client equipment in a client IP list; distributing a client test port for the current client device based on the index; for each server IP address in the server IP list, starting an independent iperf3 client process in parallel so as to initiate a client connection request to a corresponding server device by using a client test port, and establishing a connection with the iperf3 server process on the server device; after the connection is established, the performance test data and the result acquisition request are sent to the server-side equipment, the server-side performance index and the reference comparison data set sent by the server-side equipment are received, and the network performance test report is generated. According to the invention, multiple server devices can be tested at the same time in a short time, and the test period is remarkably shortened.

The invention provides a method for a cloud desktop to be compatible with a plurality of PXE Servers to prevent conflicts. According to the technology, optimization is carried out on an iPXE source code level, and a user-defined identifier is embedded in a file name in a TFTP downloading stage, so that unique identification of a file is realized. The method specifically comprises the following steps: executing memory allocation and hardware detection in an iPXE starting initial stage; loading a network driver and initializing a network communication module; a DHCP DISCOVER message is sent, and network configuration is obtained; in the TFTP downloading stage, the uniqueness of an equipment request is ensured through a filename identifier; and reading the configuration file and dynamically adjusting the parameters of the TFTP server according to the identifier. According to the invention, the conflict problem in a multi-PXE server environment is solved, the system stability is improved, the management process is simplified, and the network performance is optimized. The method is mainly applied to conflict prevention of multiple PXE servers in the cloud desktop environment, and the stability and reliability of system starting can be effectively improved. The method is mainly applied to conflict prevention of the multiple PXE servers in the cloud desktop environment.

Systems and methods for providing customer-specific network impact reports include monitoring traffic traversing between any of computing devices, Data Centers (DCs), applications, and Internet Service Providers (ISPs) associated with a plurality of customers of the cloud-based system; analyzing the traffic of the plurality of customers to determine network performance and identify issues; and providing a notification to a specific customer, the notification including details about a detected issue and one or more actionable recommendations.

System device for the technical control of web performance parameters in distributed cloud systems, comprising at least one processing unit, a data collection unit for recording web performance status data from multiple distributed cloud nodes, a control unit, and an enforcement unit, the system device is designed to capture and evaluate web performance states across clouds, characterized by that the control unit generates technical control signals on the hardware or firmware side, which, via the enforcement unit, cause an adjustment of system resources or execution parameters in the distributed cloud nodes.